APOS Conference Reveals Asian Content Era: Integration of IP and AI Becomes New Engine

From Topic to Operations: AI Accelerates Implementation in Asia's Content Industry

At the APOS conference held in Bali, Vivek Couto, CEO of Media Partners Asia, announced that artificial intelligence has shifted from a discussion topic at the conference to an operational reality. Behind this judgment lies the actual deployment data from Asian streaming platform JioHotstar: after launching its OpenAI-based conversational voice discovery feature, over 60% of users chose voice over text for content searches.

IP Becomes Core of Content Assets

Minyoung Kim, Vice President of Content for Netflix Asia Pacific (excluding India), stated at the conference: "I always view myself and my team as portfolio managers." This remark reflects the platform's capital management approach to content IP. Manoj Punjabi, founder of MD Entertainment, pointed out that global streaming platforms have become crucial gateways for Indonesian stories to reach the world.

Eight Key Themes Shaping Asia's Entertainment Landscape in 2026

The eight key themes proposed at the conference include: scalable IP, sports content, vertical content, and government incentives. These themes are intertwined with AI applications—from generative AI-assisted filmmaking, AI-native content production, AI-driven localization, to AI video generation—technology is penetrating every link of the content value chain.

Japan's Perspective: Synergy Between IP and AI Worth Noting

Although this conference focused on Asia as a whole, the combination of Japan's content industry IP advantages with AI technology is worth attention. Japan boasts mature IP ecosystems such as anime and games. The application of AI in content discovery, localization, and production processes could accelerate the global distribution efficiency of Japanese IP. For example, AI-driven voice search and subtitle translation can reduce language barriers, enhancing the user experience of Japanese anime on overseas streaming platforms.

Industry Insights: Operational Challenges and Future Observations

For industry practitioners, the JioHotstar case illustrates the engineering challenges of integrating AI into user interfaces: latency control, model governance, data localization, etc. Future attention should focus on: user retention metrics for voice discovery features, adoption rates of AI-native production tools, and the emergence of copyright-based asset management tools. Meanwhile, the value of IP as cross-format franchises will be further unleashed in AI-empowered production and distribution processes.